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Learning Development Jobs in Chester, VA (NOW HIRING)

Palnar

Machine Learning with Python Development

Richmond, VA · On-site

$49.75 - $68.75/hr

Good Machine Learning foundations, practical experience with classification, regression and clustering methods strong python coding, computing fundamentals/data structures, SQL, experience with ...

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Learning Development information

See Chester, VA salary details

$12

$37

$77

How much do learning development jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for learning development in Chester, VA is $37.63, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $63.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Learning Development position, and why are they important?

To thrive in Learning Development, you need expertise in instructional design, adult learning principles, and curriculum development, often supported by a relevant bachelor's degree or certifications like CPLP or CPTD. Familiarity with learning management systems (LMS), e-learning authoring tools such as Articulate Storyline or Adobe Captivate, and analytics platforms is commonly required. Exceptional communication, facilitation, and project management skills set standout professionals apart in this field. These abilities are critical for designing effective training programs that enhance employee skills and support organizational goals.

What is a Learning Development job?

A Learning Development job focuses on improving employee skills, knowledge, and performance through training programs, instructional materials, and development initiatives. Professionals in this role assess training needs, design learning experiences, and implement programs to support professional growth. They may use e-learning platforms, workshops, and coaching to enhance workplace effectiveness. Learning Development specialists work closely with management to align training with business goals and ensure continued employee success.

What are the most common projects or responsibilities for someone working in Learning Development?

Professionals in Learning Development typically design and deliver training programs, create instructional materials, and evaluate the effectiveness of learning initiatives. They often conduct needs assessments, collaborate with subject matter experts, and manage projects to ensure timely rollouts of development solutions. On a weekly basis, you may facilitate live or virtual training sessions, update training content based on feedback, and track learning outcomes using analytics tools. The work is highly collaborative, requiring regular interaction with HR, leadership, and operational teams to ensure learning aligns with business objectives.

What are the most commonly searched types of Learning Development jobs in Chester, VA? The most popular types of Learning Development jobs in Chester, VA are:
What are popular job titles related to Learning Development jobs in Chester, VA? For Learning Development jobs in Chester, VA, the most frequently searched job titles are:
What job categories do people searching Learning Development jobs in Chester, VA look for? The top searched job categories for Learning Development jobs in Chester, VA are:
What cities near Chester, VA are hiring for Learning Development jobs? Cities near Chester, VA with the most Learning Development job openings:
Learning Development jobs near you
Infographic showing various Learning Development job openings in Chester, VA as of May 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $78,262 per year, or $37.6 per hour.
Machine Learning / Data Science Engineer

Machine Learning / Data Science Engineer

CapTech Consulting

Richmond, VA • On-site

$113K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • Bachelor's degree or equivalent combination of education and experience.
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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